Triple
T20004848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Waddingham |
E494426
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Apple TV+ (Ted Lasso) |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Apple TV+ (Ted Lasso) | Statement: [Hannah Waddingham, employer, Apple TV+ (Ted Lasso)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple TV+ (Ted Lasso) Context triple: [Hannah Waddingham, employer, Apple TV+ (Ted Lasso)]
-
A.
Apple TV+
chosen
Apple TV+ is Apple’s subscription-based streaming platform offering original TV series, films, and documentaries across its devices and the web.
-
B.
Acorn TV
Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
-
C.
Hulu
Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
-
D.
HBO Max
HBO Max is a streaming service from WarnerMedia that offers a wide library of movies, series, and original content from HBO and related brands.
-
E.
NOW (streaming service)
NOW is a UK-based subscription streaming and internet television service offering on-demand access to Sky’s entertainment, movies, and sports content without a long-term contract.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.